Monitoring techniques can extract accurate dataabout the behavior of software systems. When used in thefield, they can reveal how applications behave in real-worldcontexts and how programs are actually exercised by their users. Nevertheless, since monitoring might need significant storage and computational resources, it may interfere with users activities degrading the quality of the user experience. While the impact of monitoring has been typically studied bymeasuring the overhead that it may introduce in a monitoredapplication, there is little knowledge about how monitoringsolutions may actually impact on the user experience and towhat extent users may recognize their presence. In this paper, we present our investigation on how collectingdata in the field may impact the quality of the user experience. Our initial results show that non-trivial overhead can be toleratedby users, depending on the kind of activity that is performed. This opens interesting opportunities for research in monitoringsolutions, which could be designed to opportunistically collectdata considering the kind of activities performed by the users.

In the field monitoring of interactive application

Briola, D;Mariani, L
2017-01-01

Abstract

Monitoring techniques can extract accurate dataabout the behavior of software systems. When used in thefield, they can reveal how applications behave in real-worldcontexts and how programs are actually exercised by their users. Nevertheless, since monitoring might need significant storage and computational resources, it may interfere with users activities degrading the quality of the user experience. While the impact of monitoring has been typically studied bymeasuring the overhead that it may introduce in a monitoredapplication, there is little knowledge about how monitoringsolutions may actually impact on the user experience and towhat extent users may recognize their presence. In this paper, we present our investigation on how collectingdata in the field may impact the quality of the user experience. Our initial results show that non-trivial overhead can be toleratedby users, depending on the kind of activity that is performed. This opens interesting opportunities for research in monitoringsolutions, which could be designed to opportunistically collectdata considering the kind of activities performed by the users.
2017
2017 IEEE/ACM 39th International Conference on Software Engineering: New Ideas and Emerging Technologies Results Track (ICSE-NIER)
9781538626757
IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Results Track, ICSE-NIER 20-28 may
Buenos Aires, Argentina
2017
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11383/2118552
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